Scholar
Dakai Kang
Google Scholar ID: Ut1KRqoAAAAJ
Computer Science Ph.D. Candidate, UC Davis
Citations & Impact
Citations
35
H-index
3
i10-index
2
Publications
5
Co-authors
8
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications: 'FairDAG: Consensus Fairness over Concurrent Causal Design', 'Brief Announcement: Carry the Tail in Consensus Protocols', 'Hotstuff-1: Linear consensus with one-phase speculation', 'Spotless: Concurrent rotational consensus made practical through rapid view synchronization'; Preprints: 'Fides: Scalable Censorship-Resistant DAG Consensus via Trusted Components'; Invited Reviewer: IEEE ICDE (Demo Track) 2026, IEEE T-IFS 2025, IEEE TDSC 2025, ACM SIGMOD ARI 2025, EuroSys Shadow PC 2026; External Reviewer: ACM CCS 2025, VLDB 2023-2025, ACM SIGMOD 2024-2025, IEEE ICDE 2024, ACM/IFIP Middleware 2024; Awards: GGCS Spring Quarter Fellowship Award (2023, 2024), GGCS Summer Ph.D. Fellowship (2023, 2024).
Research Experience
- Research Intern at Mysten Labs, Palo Alto, June 2025 - September 2025, working on transaction scheduling for parallel execution in multi-proposer Byzantine Fault Tolerant (BFT) consensus protocols; Intern Software Engineer at Hangzhou Zhuxing Information Technology Co., Ltd, Hangzhou, 2020, involved in full-stack software development.
Education
- Bachelor's degree in Computer Science from Zhejiang University in 2022; became a Ph.D. candidate at UC Davis in November 2024 after passing the Qualifying Examination, conducting research under the supervision of Prof. Sadoghi.
Background
- A fourth-year Ph.D. student in Computer Science at UC Davis, focusing on designing and building high-performance, fault-tolerant distributed systems. Research interests include high-performance Byzantine Fault Tolerant (BFT) consensus protocols, fair transaction ordering, transaction scheduling, and parallel transaction execution in adversarial environments.
Miscellany
- Conducts research on the open-source project ResilientDB, a distributed ledger that unifies secure transactional and real-time analytical processing. Since 2022, has re-architected and re-imagined its modular system design alongside Junchao, embedding parallelism and deep pipelining at every layer to fully harness modern hardware and cloud infrastructure globally.
